Summary

In this chapter, we actually covered a lot of ground to create interactive visualizations. Starting with periodic time series visualization, we built a small zoom tool to aid the exploration of time series. In the process, we made ourselves familiar with the Dynamic and Refresh functions—our first step in Mathematica interactivity. We then concentrated on spatial data visualization, specifically isocontours in 2D and 3D. The molecular visualization tool demonstrates the practical use of isocontours in the real world. We also introduced ourselves to Manipulate, the widely used function that helps Mathematica programmers create interactive applications. Our encounter with Manipulate was brief, but we will cover it in more detail in the next chapter so that you can gain a better understanding of this package.

It is important to realize that Mathematica provides the necessary plotting tools and functions to visualize our data, but instead of sticking to traditional plots and charts, we...